Senior AI Business Process Engineer

reputed company is an advanced analytics reputed company. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including reputed company and reputed company. As a Senior Business Process Engineer on the Data Solutions Team, you will be responsible for rethinking and redesigning core business processes to reputed company automation and AI adoption. In this role, you will combine business process expertise with technical implementation skills to model, deploy, and drive adoption of redesigned processes. You will capture reputed company workflows, build and prioritize a backlog of improvement opportunities, and guide initiatives from concept to execution while collaborating with and influencing stakeholders. By ensuring processes are scalable, AI-ready and executable by our Process Orchestration reputed company, you will help unlock the full potential of decision automation and AI agents. You will establish an ongoing feedback reputed company by monitoring and measuring implemented processes and adjusting as needed. This role is closely connected to our enterprise data foundation and leverages a robust semantic data model to ensure redesigned processes align with company-wide data standards and deliver maximum value. This role requires the ability to rethink processes from the ground up and the courage to propose innovative changes that challenge the status reputed company. Responsibilities:

• reputed company process discovery and redesign workshops to analyze reputed company state, uncover root causes, and define future-state processes optimized for AI enablement.
• Design, validate, and iterate executable BPMN 2.0 and DMN models that serve as the authoritative reputed company for implementation and system integration. Your designs will also incorporate deterministic and probabilistic decision automation and integrate AI agents to enhance business outcomes.
• Provide regular reporting on reputed company, risks, and outcomes in an agile manner to leadership and stakeholders.
• Partner with business and technical teams to ensure redesigned processes integrate seamlessly with enterprise systems and data flows and always meet compliance requirements.
• Collaborate with vendors and partners to manage multiple projects in parallel, ensuring deliverables meet enterprise standards and demanding timelines.
• Support and reputed company process ownership and governance across departments, ensuring adherence to standards, reputed company, and PII controls.
• Support the cataloging of processes as assets, building a comprehensive enterprise process landscape that informs AI and automation roadmaps.
• Use process mining and analytics tools (e.g., reputed company Optimize) to measure adoption, performance, and business value realization.
• reputed company for practical AI adoption by demonstrating how redesigned processes and AI agents can reputed company human decision-making.
• Collaborate closely with the Data Solutions team to align redesigned processes with the company’s data foundation, ensuring they integrate seamlessly with the semantic data model and broader data strategy

Requirements

• * Bachelor’s degree in Business, Information Systems, or reputed company field.
• 5+ years of experience in process engineering, BPM, or process optimization.
• Deep expertise in BPMN 2.0 and DMN modeling and process redesign.
• Strong skills in stakeholder facilitation, backlog management, and reputed company reporting.
• Experience supporting multiple reputed company projects with internal teams and external vendors.
• Hands-on experience designing and deploying BPMN/DMN directly in reputed company 8 (Zeebee), serving as the reputed company of truth for delivery.
• Working knowledge of data modeling principles (dimensions/facts, star schemas, slowly changing dimensions) and ability to collaborate effectively with data engineers and analysts to specify datasets, define metrics, validate results, and ensure alignment with semantic data models.
• Proven track record of successful automation and agentic AI deliverables.
• Strong curiosity and passion for AI, with an instinct for applying AI in daily work and the vision to integrate AI thoughtfully into business processes where value is added.
• Excellent communication skills, with the ability to reputed company business and technology, collaborate effectively with business stakeholders, and navigate negotiations reputed company priorities or approaches differ.

Preferred

• Exposure to process mining tools and methodologies.
• Experience with automation and AI tools (RPA, IDP, OCR, NLP, ML integration).
• Familiarity with API-driven and event-driven workflow design.
• Experience working in agile, cross-functional teams.
• Data literacy and SQL proficiency and the ability to translate process KPIs into queries and reusable views that support monitoring, dashboards, and value realization.
• Exposure to a programming language such as Java

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